Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/11775
DC Field | Value | Language |
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dc.date.accessioned | 2018-04-24T10:23:06Z | en |
dc.date.available | 2018-04-24T10:23:06Z | en |
dc.date.issued | 2017 | en |
dc.identifier.uri | http://hdl.handle.net/2122/11775 | en |
dc.description.abstract | In this study, we investigate the occurrence of large aftershocks following the most significant earthquakes that occurred in Italy after 1980. In accordance with previous studies (Vorobieva and Panza, 1993; Vorobieva, 1999), we group clusters associated with mainshocks into two categories: “type A” if, given a main shock of magnitude M, the subsequent strongest earthquake in the cluster has magnitude ≥M − 1 or type B otherwise. In this paper, we apply a pattern recognition approach using statistical features to foresee the class of the analysed clusters. The classification of the two categories is based on some features of the time, space, and magnitude distribution of the aftershocks. Specifically, we analyse the temporal evolution of the radiated energy at different elapsed times after the mainshock, the spatio-temporal evolution of the aftershocks occurring within a few days, and the probability of a strong earthquake. An attempt is made to classify the studied region into smaller seismic zones with a prevalence of type A and B clusters. We demonstrate that the two types of clusters have distinct preferred geographic locations inside the Italian territory that likely reflected key properties of the deforming regions, different crustal domains and faulting style. We use decision trees as classifiers of single features to characterize the features depending on the cluster type. The performance of the classification is tested by the Leave-One-Out method. The analysis is performed on different time-spans after the mainshock to simulate the dependence of the accuracy on the information available as data increased over a longer period with increasing time after the mainshock. | en |
dc.language.iso | English | en |
dc.relation.ispartof | Physics of the Earth and Planetary Interiors | en |
dc.relation.ispartofseries | /266 (2017) | en |
dc.title | Pattern recognition approach to the subsequent event of damaging earthquakes in Italy | en |
dc.type | article | en |
dc.description.status | Published | en |
dc.description.pagenumber | 1-17 | en |
dc.identifier.doi | 10.1016/j.pepi.2017.02.011 | en |
dc.description.obiettivoSpecifico | 4T. Sismologia, geofisica e geologia per l'ingegneria sismica | en |
dc.description.journalType | JCR Journal | en |
dc.contributor.author | Gentili, S. | en |
dc.contributor.author | Di Giovambattista, Rita | en |
dc.contributor.department | Istituto Nazionale di Oceanografia e di Geofisica Sperimentale- Centro Ricerche Sismologiche, Udine, Italy | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia | en |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Istituto Nazionale di Oceanografia e di Geofisica Sperimentale | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia | - |
crisitem.author.orcid | 0000-0002-7740-7883 | - |
crisitem.author.orcid | 0000-0001-5622-1396 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Article published / in press |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
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Gentili and Di Giovambattista Pepi 2017.pdf | 2.06 MB | Adobe PDF | ||
Gentili_Di_Giovambattista_PEPI_2017_www.pdf | Open access | 1.81 MB | Adobe PDF | View/Open |
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